zalandoresearch/pytorch-vq-vae

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Created over 6 years ago
Updated about 5 years ago

zalandoresearch/pytorch-vq-vae

zalandoresearch

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PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Requirements

$ pip3 install -r requirements.txt

Notebook

See vq-vae.ipynb

fashion-mnist

A MNIST-like fashion product database. Benchmark 👇

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch-dilated-rnn

Dilated RNNs in pytorch

psgan

Periodic Spatial Generative Adversarial Networks

Jupyter Notebook

famos

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

spatial_gan

Spatial Generative Adversarial Networks

disentangling_conditional_gans

Disentangling Multiple Conditional Inputs in GANs

zap

Multilingual NLP annotation projection

feidegger

A Multi-modal Corpus of Fashion Images and Descriptions in German

probrnn

State space modeling with recurrent neural networks

first_order_gan

Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591

Jupyter Notebook

ACIC23-competition

Data for and description of the ACIC 2023 data competition

SWARM

Set-Equivariant Deep Learning Models

CRISP

A probabilistic graphical model for COVID-19 infection spread through a population based on mutual contacts between pairs of individuals across time as well as test outcomes The C++/Python implementation enables full inference at the scale of millions of contacts between thousands of individuals.

Jupyter Notebook

fb-model-library

Model of deep learning libraries

salm

Syntax-aware language models in Pytorch

fashionxrecsys

Workshop on Recommender Systems in Fashion

JaxRK

RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation

Jupyter Notebook

gpa

VLRNN

Very Long RNN - memory efficient computation of very long sequences in recurrent neural networks

batching-benchmarks

This project contains accompanying code for Zalando Team BART's (Batching Algorithms) publication Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses.

zalandoresearch.github.io

Zalando Research Website

pairwise-debiasing